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+# User Guide: OpenSearch Remote Vector Index Builder
+
+## Getting Started
+
+### 1. Provision an Instance
+System requirements:
+- NVIDIA GPU powered machine with CUDA Toolkit and Docker installed.
+  - ex. AWS EC2 `g5.2xlarge` instance running Deep Learning OSS Nvidia Driver AMI.
+
+### 2. Clone the Repository
+```bash
+git clone https://github.com/opensearch-project/remote-vector-index-builder.git
+cd remote-vector-index-builder
+```
+
+## Building Docker Images
+
+There are 3 images that need to be built:
+
+### 1. Build Faiss Base Image
+First, initialize the Faiss submodule:
+```bash
+git submodule update --init
+```
+
+Then build the Faiss base image:
+```bash
+docker build -f ./base_image/build_scripts/Dockerfile . -t opensearchstaging/remote-vector-index-builder:faiss-base-latest
+```
+
+### 2. Build Core Image
+```bash
+docker build -f ./remote_vector_index_builder/core/Dockerfile . -t opensearchstaging/remote-vector-index-builder:core-latest
+```
+
+### 3. Build API Image
+```bash
+docker build -f ./remote_vector_index_builder/app/Dockerfile . -t opensearchstaging/remote-vector-index-builder:api-latest
+```
+
+## Running the Service
+
+### Starting the Docker Container
+```bash
+docker run --gpus all -p 80:1025 opensearchstaging/remote-vector-index-builder:api-latest
+```
+
+The service will be available at the instance's public IP address on port 80.
+For information on configuring OpenSearch to use this service, please refer to the [OpenSearch k-NN documentation.](https://docs.opensearch.org/docs/latest/vector-search/)